Abstract
As we have seen, there are many recent contributions from academics to solving complex logistics problems by advanced methods from computational intelligence and other areas. An obvious question is, of course, how many of them were implemented in practical software solutions and how widespread their use is by companies dealing with these particular problems.
Keywords
- Constraint Programming
- Transportation Planning
- Enterprise Resource Planning
- Enterprise Resource Planning System
- Optimization Software
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Hanne, T., Dornberger, R. (2017). Intelligent Software for Logistics. In: Computational Intelligence in Logistics and Supply Chain Management. International Series in Operations Research & Management Science, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-40722-7_7
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